PyData Berlin 2016

May 20th - 21st

Talks

37:17
Using small data in the client instead of big data in the cloud
Anton Dubrau
58:29
Predictive modelling with Python
Olivier Grisel (keynote)
42:36
Frontera: open source, large scale web crawling framework
Alexander Sibiryakov
39:27
Functional Programming in Python
Daniel Kirsch
14:54
One in a billion: finding matching images in very large corpora
Ryan Henderson
44:43
Dealing with TBytes of Data in Realtime
Nils Magnus
34:25
Classifying Search Queries Without User Click Data
Abhishek Thakur
43:20
BigchainDB : a Scalable Blockchain Database, in Python
Trent McConaghy
27:02
How to Trick a Neural Network
Julia Evans (keynote)
26:42
Machine Learning at Scale
Nathan Epstein
35:49
What every data scientist should know about data anonymization
Katharina Rasch
37:08
Accelerating Python Analytics by In-Database Processing
Edouard Fouché
26:49
Python and TouchDesigner for Interactive Experiments
Jessica Palmer
35:14
Let's play Space Invaders!
Maciej Jaskowski
57:53
Python Data Ecosystem: Thoughts on Building for the Future
Wes McKinney (keynote)
37:09
What's new in Deep Learning?
Kashif Rasul
39:56
Designing spaCy: Industrial-strength NLP
Matthew Honnibal
37:01
Data Integration in the World of Microservices
Valentine Gogichashvili
36:57
Bridging the gap: from Data Science to service
Daniel Moisset
31:45
The "Kwargh!" Problem
James Powell
37:51
Usable A/B testing – A Bayesian approach
Nora Neumann
33:52
Introduction to Julia for Python Developers
David Higgins
16:34
Robot uses toddler-like self exploration for the development of body representations
Idai Guertel
24:31
pypet: A Python Toolkit for Simulations and Numerical Experiments
Robert Meyer
37:40
PySpark in Practice
Ronert ObstDat Tran
38:10
Zero-Administration Data Pipelines using AWS Simple Workflow
Anne Matthies
34:38
Visualizing research data: Challenges of combining different datasources
Juha Suomalainen
35:13
Spotting trends and tailoring recommendations: PySpark on Big Data in fashion
Martina Pugliese
33:24
Smart Banking - Real Time Driven
Arnab DuttaChristian Rebernik
26:28
Visualizing FragDenStaat.de
Andrej Warkentin
36:13
Plumbing in Python: Pipelines for Data Science Applications
Thomas Reineking
34:25
Bayesian Optimization and it's application to Neural Networks
Moritz Neeb
29:36
Python based predictive analytics with GraphLab Create
Danny Bickson
38:47
A full Machine learning pipeline in Scikit-learn vs in scala-Spark: pros and cons
Jose Quesada
30:32
Connecting Keywords to Knowledge Base Using Search Keywords and Wikidata
Fang Xu
37:23
Predicting political views from text
Felix Biessmann
36:16
Estimating stock price correlations using Wikipedia
Delia Rusu
24:34
Brand recognition in real-life photos
Lukasz Czarnecki
35:34
Building a polyglot Data Science Platform on Big Data systems
Frank Kaufer
24:35
Removing Soft Shadows with Hard Data
Maciej Gryka
28:07
ExpAn - A Python library for advanced statistical analysis of A/B tests
Jie Bao
38:54
Setting up predictive analytics services with Palladium
Andreas Lattner